BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...

Duke Energy submitted an application to the U.S. Nuclear Regulatory Commission to extend the operating license of its Robinson Nuclear Plant in South Carolina by 20 years, potentially allowing the ...

Recent research observed that pairwise query is practical enough in real-world streaming graph analytics. Given a pair of distinct vertices, existing approaches coalesce or prune vertex activations to ...

Philadelphia-based Dietz & Watson has revealed a 15-year renewable-supply agreement with Constellation, the nation’s largest producer of clean, emissions-free, reliable energy, for the purchase of ...

We demonstrate that pretrained graph neural networks are able to determine the potential energy Hessian with high precision. This allows the Gibbs free energy corrections to be calculated with low ...

Solar energy has proven its worth, but scaling it to meet the energy needs of billions—especially those in off-grid and underserved regions—requires overcoming bottlenecks in supply chains ...

A common approach for computing free energy differences among multiple states is to build a perturbation graph connecting the states and compute free energy differences on all edges of the graph. Such ...

While employer contributions to defined contribution plans remained flat, the gap in overall retirement benefits offered by the most and least generous employers narrowed significantly.

A more intelligent approach is needed to ensure that green energy technologies become viable and widely accessible.

Last month, construction was completed on a brand-new waste-to-energy (WTE) plant in Slough, England, called Slough Multifuel.

Willis Towers Watson launched a program that give sponsors and participants flexibility in allocating employer contributions to defined contribution plans.